create_sample_psm: Select sampling units from a set of potential sampling units...

In ernestguevarra/surveysampler: Survey Sampling and Analysis Tools

Description

Select sampling units from a set of potential sampling units using propensity score matching (PSM)

Usage

create_sample_psm(
  x,
  svy,
  psu = "psu",
  match = NULL,
  pop = "pop",
  sampling_type = c("simple", "systematic")
)

Arguments

x	A data.frame of all potential primary sampling units (PSUs) to sample from each uniquely identified and with corresponding populations.
svy	A data.frame of survey data drawn via probability proportional to population size (PPS) approach from all the potential PSUs in x.
psu	A single character value or vector of values corresponding to the variable name/s for the primary sampling unit in x and svy. Default is "psu".
match	A single character value corresponding to the variable name for the primary sampling unit in x that matches the primary sampling unit in svy. Default is NULL which indicates that primary sampling unit in x is the same as primary sampling unit in svy.
pop	A single character value corresponding to the variable name for the population figures in x. Default is "pop".
sampling_type	Which sampling type to use. Choice between simple random sample (simple) or systematic sample (systematic). Default is simple.

Value

A data.frame drawn from svy that contains the primary sampling units selected by propensity score matching.

Author(s)

Mark Myatt and Ernest Guevarra

Examples

create_sample_psm(
  x = village_list,
  svy = sample_data,
  psu = c("id", "psu"),
  match = "cluster",
  pop = "population"
)

ernestguevarra/surveysampler documentation built on Jan. 2, 2022, 4:25 a.m.